The growing field of artificial intelligence (AI) has raised several privacy-related concerns. AI systems commonly employ large-scale personal data for learning and prediction, which presents concerns about the collection, usage, and storage of such data. Here are some insights from tech pros about the future.
Artificial intelligence (AI) technology is proliferating. Examples of this technology include face recognition software, self-driving automobiles, and virtual assistants such as Alexa and Siri. But using AI does bring privacy risks, especially when it comes to personal data, says Bhaskar Ganguli, Director of Marketing and Sales at Mass Software Solutions.
Artificial intelligence (AI) systems often require large volumes of data to train their algorithms and improve performance. This data may include private and sensitive personal information such as names, addresses, and financial information, as well as sensitive data such as social security numbers and medical records. The gathering and processing of this data may give rise to questions regarding how it is used and who can access it.
The main privacy concerns with AI are the possibility of data breaches and unauthorized access to personal data. There’s a possibility that the amount of data being collected and processed could be abused due to hacking or other security vulnerabilities.
Data breaches are more likely as artificial intelligence advances because it uses personal information more often. With generative AI, images can be altered or new profiles created. Like any AI technology, it is likewise dependent on data. We are aware that personal information in the wrong hands can have terrible repercussions, and 80% of businesses globally indicate that cybercrimes negatively affect their security. We must actively safeguard the privacy of the information about our clients by using data platforms for authentication. Harsha Solanki is the MD of Infobip for Bangladesh, Nepal, India, and Sri Lanka.
“There’s no denying that AI has the potential to change our lives, but it also poses serious privacy concerns. Quarks Technosoft CEO Vipin Vindal claims that as AI develops, it will be able to collect and analyze vast amounts of personal data that might be used for both good and bad.
AI For Observation And Tracking
Another problem is the use of AI for surveillance and monitoring. For example, law enforcement agencies have used face recognition technology to identify suspects and find persons in public spaces. This raises issues with the right to privacy and the potential for technological misuse.
It is imperative to ensure that the GDPR is followed when collecting, using, and processing personal data by AI. AI algorithms should be developed to ensure that personal data is kept private and secure, and the collection and processing of such data should be minimized.
“As AI technologies advance, they will be able to collect and examine vast amounts of personal data, such as preferences, routines, and even emotions and thoughts. Vidal claims that this information may be used to predict how people will behave, target them with ads or other marketing materials, or even determine if they are eligible for particular opportunities or services.
Artificial intelligence (AI) has the potential to monitor people in ways that were not before possible, like tracking their movements, monitoring their social media activity, and even analyzing biometric data and facial expressions. AI is capable of analyzing vast amounts of data.
Another concern is the potential for AI systems to legitimize existing prejudice and discrimination. If preference biases were present in the training data that the AI system used, it could learn and retain them. This could have unfavorable consequences, particularly in industries like employment where AI algorithms may be used to make hiring decisions.
It will need appropriate AI development and application to address these problems. This entails making certain that information is collected and handled in a secure, transparent, and consent-giving manner. It also involves ensuring that AI systems are created, evaluated, and closely watched to identify and minimize prejudices.
To ease these fears, it is imperative to ensure that AI is developed and applied properly. This means that there must be clear guidelines on the use and sharing of personal data, and it must be collected and managed ethically and transparently. According to Vindal, it also means implementing safeguards against the misuse of AI technologies, such as developing tools that let individuals control the collection and use of their data.
Supporting the ethical development and application of AI is essential to ensuring that its potential benefits are realized while reducing the risks to civil rights and human privacy. According to Scott Horn, CMO of EnterpriseDB, legislators, corporate leaders, and representatives of civil society must work together to ensure that AI technologies are used appropriately.